RESEARCH METHODS PSYCHOLOGY ACTUAL EXAM
\\2025-2026 COMPLETE QUESTIONS AND CORRECT
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both observers must agree on the list of
behaviour categories the observation is
conducted separately by each observer
explain the 5 steps of inter
rater reliability they compare the two independent data sets and test
the correlation using a statistical test (e.g. Spearman's
Rho)
this produces a correlation coefficient result
to be considered a good/high level of inter-rater
reliability, it must pass a threshold of +0.8 or 80%
consistency
what is a self report technique when pp's are asked to provide information about themselves. eg,
emotions, beliefs
pp's are asked questions from the researcher and answer
define an interview
them. two types, structured and unstructured
pp's are sent a set of question which they answer. two
define a questionnaire
types, open and closed questionaries
questions are phrased so pp's can answer however they
define an open questionnaire
want. no restrictions. produces qualitative data
evaluation of an open because pp's have freedom to answer however they
questionnaire (increased want, they more likely to give more accurate answers
validity) back
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evaluation of an open because the data is qualitative, analysis of it is difficult
questionnaire (difficult to and time consuming and can often be biassed when
analyse) analysing
questions are phrased that limits pp's responses to fixed
define a closed questionnaire
options. eg, yes, no, maybe. produces quantitative data
evaluation of a closed because the data set is often large, and closed
questionnaire (easy to questionnaires produce quantitative data, analysis can
analyse/compare) be quick and easy allowing for comparisons to be
made
evaluation of a closed because pp's have to answer from a fixed set of
questionnaire (lacks validity) options, it may not accurately capture their true
response, limiting the validity
avoid complex
what are important terminology avoid
considerations when leading questions
designing an include pilot
interview/questionnaire questionaries/interveiws
include filler questions
researcher asks a pre-reaped set of closed questions to
define a structured interview
pp's/ produces quantitative data
evaluation of structured because all pp's are asked the sam questions, the
interviews (easy to compare) researcher can easily compare responses between pp's
evaluation of structured the structure of the interview means the interviewer can't
interviews (shallow data) probe and ask further questions, so the data isn't as
rich
there is no setlist of questions, so researcher can ask
define an unstructured
interview whatever they like, like a conversation. produces
qualitative data
evaluation of an unstructured because this is similar to a conversation, the researcher
interview (established can create a relationship with the pp's so they feel more
rapport) conformable to answer allowing for deeper results
evaluation of an because all questions are different and follow no set
unstructured interview order, it makes it difficult to compare results across pp's
(hard to compare)
define a semi structured combination of prepared and unprepared questions
interview
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evaluation of a because the same questions are used, results are easily
semistructured interview comparable
(easy to compare)
evaluation of a semistructured because the interviewer has to think of questions in the
interview (needs a highly moment, they need to be highly trained which can be
trained interviewer) costly
the relationship between two or more variables
define a correlation
experiments involve the manipulation of an IV and a
explain the difference
measurement of the DV upon the change. whereas, a
between a
correlation, no variables are manipulated, they're just
correlation and an
measured to look for a relationship
experiment
what is used to plot a scattergram
correlation
explain what a positive as one variable increases, so does the other variable
correlation shows
explain what a negative as one variable increases, the other decreases
correlation shows
explain what a zero there is no relationship between the two co-variables
correlation shows
the strength and the direction of
what does the correlation the relationship between the co-
co-efficient measure variables as a number between -1
to +1
what method of statistical spearmint rho or Pearsons
tests are used to measure
correlation coefficients
correlations only highlight the relationship/strength of
evaluation of correlations (no a relationship between two variables. but they don't
causation)
explain whether one change in variable is the direct
cause of the other variable
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